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Resilience management during large-scale epidemic outbreaks

Resilience management during large-scale epidemic outbreaks

Massaro, Emanuele, Ganin, Alexander, Perra, Nicola, Linkov, Igor and Vespignani, Alessandro (2018) Resilience management during large-scale epidemic outbreaks. Scientific Reports, 8:1859. ISSN 2045-2322 (Print), 1476-4687 (Online) (doi:https://doi.org/10.1038/s41598-018-19706-2)

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Abstract

Assessing and managing the impact of large-scale epidemics considering only the individual risk and severity of the disease is exceedingly difficult and could be extremely expensive. Economic consequences, infrastructure and service disruption, as well as the recovery speed, are just a few of the many dimensions along which to quantify the effect of an epidemic on society's fabric. Here, we extend the concept of resilience to characterize epidemics in structured populations, by defining the system-wide critical functionality that combines an individual’s risk of getting the disease (disease attack rate) and the disruption to the system’s functionality (human mobility deterioration). By studying both conceptual and data-driven models, we show that the integrated consideration of individual risks and societal disruptions under resilience assessment framework provides an insightful picture of how an epidemic might impact society. In particular, containment interventions intended for a straightforward reduction of the risk may have net negative impact on the system by slowing down the recovery of basic societal functions. The presented study operationalizes the resilience framework, providing a more nuanced and comprehensive approach for optimizing containment schemes and mitigation policies in the case of epidemic outbreaks.

Item Type: Article
Uncontrolled Keywords: Epidemic spreading, resilience management
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Centre for Business Network Analysis (CBNA)
Faculty of Business > Networks and Urban Systems Centre (NUSC) > Centre for Business Network Analysis (CBNA)
Faculty of Business > Department of International Business & Economics
Last Modified: 16 Apr 2019 15:56
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: GREAT b
Selected for GREAT 2019: GREAT 5
URI: http://gala.gre.ac.uk/id/eprint/18515

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